World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9766
World Ranking
9121
National Ranking
559

Zhong Fan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Zhong Fan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Zhong Fan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Zhong Fan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Zhong Fan is affiliated with Keele University in the United Kingdom and is active in the field of engineering, with a research focus on electrical and electronic engineering, control and systems engineering, artificial intelligence, information systems, and automotive engineering.

Their main topics of research include smart grid energy management, microgrid control and optimization, smart grid security and resilience, electric vehicles and infrastructure, advanced battery technologies research, blockchain technology applications and security, and advanced DC-DC converters.

Frequent publication venues for Zhong Fan include:

  • arXiv (Cornell University)
  • Applied Energy
  • SSRN Electronic Journal
  • Energies
  • IEEE Access

Recent papers by Zhong Fan demonstrate involvement in a range of subjects related to energy systems, smart grids, and advanced technologies. Selected recent publications are:

  • "Digital Twin: Enabling Technologies, Challenges and Open Research", 2020, IEEE Access
  • "Anomaly Detection for IoT Time-Series Data: A Survey", 2020, IEEE Internet of Things Journal
  • "Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model", 2020, IEEE Transactions on Smart Grid
  • "Cell equalisation circuits: A review", 2020, Journal of Power Sources
  • "Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning", 2022, Applied Energy

Zhong Fan frequently collaborates with several co-authors, including Jun Cao, Jian Zhong, Chen Chen, Wentao Shen, and Dawei Qiu.

Best Publications

  • Digital Twin: Enabling Technologies, Challenges and Open Research

    Aidan Fuller;Zhong Fan;Charles Day;Chris Barlow

  • Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

    Zhong Fan;P. Kulkarni;S. Gormus;C. Efthymiou

  • Anomaly Detection for IoT Time-Series Data: A Survey

    Andrew A. Cook;Goksel Misirli;Zhong Fan

  • Emerging technologies and research challenges for 5G wireless networks

    Woon Hau Chin;Zhong Fan;Russell Haines

  • Federated learning with hierarchical clustering of local updates to improve training on non-IID data

    Christopher Briggs;Zhong Fan;Peter Andras

  • A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids

    Zhong Fan

  • An integer linear programming based optimization for home demand-side management in smart grid

    Ziming Zhu;Jie Tang;Sangarapillai Lambotharan;Woon Hau Chin

  • Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

    Jun Cao;Dan Harrold;Zhong Fan;Thomas Morstyn

  • Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids

    Jinping Hao;Robert J. Piechocki;Dritan Kaleshi;Woon Hau Chin

  • The new frontier of communications research: smart grid and smart metering

    Zhong Fan;Georgios Kalogridis;Costas Efthymiou;Mahesh Sooriyabandara

  • An integer linear programming and game theory based optimization for demand-side management in smart grid

    Z. Zhu;J. Tang;S. Lambotharan;W. H. Chin

  • Technical and economic analysis of hydrogen refuelling

    Silviu Nistor;Saraansh Dave;Zhong Fan;Mahesh Sooriyabandara

  • A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources

    Ziming Zhu;Sangarapillai Lambotharan;Woon Hau Chin;Zhong Fan

  • Overview of demand management in smart grid and enabling wireless communication technologies

    Ziming Zhu;Sangarapillai Lambotharan;Woon Hau Chin;Zhong Fan

  • Investigation of machine learning based network traffic classification

    Zhong Fan;Ran Liu

  • Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration

    Jun Cao;Constance Crozier;Malcolm McCulloch;Zhong Fan

  • Cell equalisation circuits: A review

    Jonathan Carter;Zhong Fan;Jun Cao

  • Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

    Daniel J. B. Harrold;Jun Cao;Zhong Fan

  • The tradeoff between energy efficiency and system performance of femtocell deployment

    Fengming Cao;Zhong Fan

  • Distributed demand response and user adaptation in smart grids

    Zhong Fan

  • A Review of Privacy-Preserving Federated Learning for the Internet-of-Things

    Christopher Briggs;Zhong Fan;Peter Andras

  • Smart electric vehicle charging: Security analysis

    M. A. Mustafa;Ning Zhang;G. Kalogridis;Zhong Fan

  • M2M communications for E-health and smart grid: an industry and standard perspective

    Zhong Fan;Russell Haines;Parag Kulkarni

  • IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

    Costas Efthymiou;Sedat Gormus;Zhong Fan;Andrew D Calway

Frequent Co-Authors

Simon Armour
Simon Armour University of Bristol
Sangarapillai Lambotharan
Sangarapillai Lambotharan Loughborough University
Robert J. Piechocki
Robert J. Piechocki University of Bristol
Andrew Calway
Andrew Calway University of Bristol
Walterio Mayol-Cuevas
Walterio Mayol-Cuevas University of Bristol
Ayalvadi Ganesh
Ayalvadi Ganesh University of Bristol
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Zakirul Alam Bhuiyan
Zakirul Alam Bhuiyan Fordham University
Kin K. Leung
Kin K. Leung Imperial College London

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